Authors : V.l. Jyothi and S.K. Srivatsa
Abstract: Systems need to run a larger and more diverse set of applications, from real time to interactive to batch, on uniprocessor & multiprocessor platforms. The problem of inferring application resource requirements is difficult because the relationship between application performance and resource requirements is complex and workload dependent. This study investigates a measurement-based approach to resource inference � employing online measurements of workload characteristics and system resource usage to estimate application resource requirements. A scheduling algorithm which provides low latency for real-time and interactive application is presented. The schedulability of each process is enforced by a guaranteed cpu service rate, independent of the demands of other processes. The resulting scheduler is implemented in the Linux kernel and evaluate its performance using various application and benchmarks.
V.l. Jyothi and S.K. Srivatsa , 2006. Proportional Share Resource Allocation with Latency-Sensitive Threads. Asian Journal of Information Technology, 5: 681-685.